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Geotechnical Resilience via Intelligent Design

Bridging geotechnical engineering and Interpretable AI to secure the infrastructure of tomorrow.

Our Global Consortium

// about

Advancing Geotechnical Engineering with AI

Geotechnical engineering faces uncertainty, heterogeneity and nonlinearity — compounded by climate change. GRID (Geotechnical Resilience through Intelligent Design) integrates physics and machine learning to design resilient infrastructure and run effective risk assessments.

€1.4M EU Funding
48 Months Project Duration

// news

Project News

// Milestones, events, and latest breakthroughs from the GRID consortium.

Mar 10, 2026

deepsoil.at Spin-off Launched

Nov 21, 2025

Yanjie Song's Presentation @BOKU

Oct 20, 2025

GRID at FOMLIG2025

Mar 02, 2026

ETS Visits BOKU

Jan 26, 2026

Newsletter Q1 2026

Dec 13, 2024

GAMD for WP5.2 Soil Classification

Nov 26, 2024

GRID on CORDIS Platform

Oct 06, 2025

GRID Student Contest

Sep 19, 2025

GGU Secondment @BOKU

Aug 28, 2025

GRID at ISGSR2025 in Oslo

Jul 08, 2025

Kids Learn AI in Geotechnics!

Jan 30, 2025

First Newsletter Released

Apr 13, 2026

GRID Secondees at Hong Kong PolyU

Apr 24, 2026

GRID at the Long Night of Research

May 6, 2026

GRID Coordinator Visits GGU

// newsletter

Stay ahead of the GRID

Sign up for our quarterly newsletter and never miss an update on research breakthroughs, project milestones, and upcoming events.

// research

Research Work Packages

// Our multi-disciplinary approach is organized into specialized work packages focusing on distinct aspects of geotechnical resilience.

// dissemination

Dissemination & Resources

// Open access to our research papers, datasets, and interactive tools.

Publications

Open Datasets

Audio Summaries (AI)

Listen to AI-generated summaries of our research papers via NotebookLM.

// publications

Posters & Presentations

// Explore our research posters and technical presentations shared at international conferences.

// resources

Project Media & Resources

// Download official project materials, newsletters, and competition details.

GRID Kaggle Competition 2026

Predict soil grain size distributions from images! $500 in prizes — directly stemming from GRID's WP5 research.

// team

Our Core Team

// world-class experts from leading research institutions and industry leaders.